Senior Data Engineer - Remote | Azure Databricks & Earnix

Encora; Buenos Aires; Hybrid; ARS 90,873,000 - 181,747,000; Full time

Benefits offered by this job

USD-based pay

Education budget

Fitness budget

Team activities

Flexible schedule (remote/office)

Job summary

AgileEngine in Buenos Aires seeks a Senior Data Engineer to review AWS architecture, CI/CD, and data pipelines, and mentor the engineering team in a part-time advisory role.

You will audit live applications, propose SDLC governance, and guide ETL decisions and MLOps workflows while communicating risk to leadership.

Qualifications

• 4+ years of hands-on AWS experience (ECS/Fargate, ECR, RDS Postgres, S3, SageMaker, EventBridge, VPC/ALB/CloudFront, IAM).
• Fluent in Infrastructure-as-code, specifically Terraform.
• Proven track record designing or auditing CI/CD pipelines and SDLC governance.
• Strong data engineering depth for ETL/ingestion architecture.
• Experience evaluating AI-assisted/LLM-assisted development workflows for quality and cost.
• Ability to mentor engineers in a part-time advisory role (50% to 25%).
• Upper-intermediate English.

Responsibilities

• Audit the current AWS architecture across live applications (ECS/ECR, RDS Postgres, S3, VPC, CloudFront/SSO, SageMaker-based MLOps).
• Review the CI/CD process and end-to-end lifecycle, recommending SDLC governance (schema versioning, env separation, release gating).
• Evaluate Claude Code usage to ensure output meets engineering standards.
• Provide an early technical opinion on ETL/data-ingestion architecture (managed ELT vs custom build).
• Mentor and accelerate the day-to-day infra team on AWS, DevOps, CI/CD, and data practices.
• Report findings and recommendations to leadership, framing risk and readiness.

Skills

AWS expertise (ECS/Fargate)

Terraform

CI/CD pipelines

ETL/ingestion design

AI/LLM workflows

Mentoring

English (Upper-Intermediate)

Tools

Terraform

Alembic

Job description

AgileEngine - Company Overview

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you’re looking for a place to grow, make an impact, and work with people who care, we’d love to meet you!

ABOUT THE ROLE

Senior Data Engineer

We are looking for a Senior Data Engineer to review the AWS architecture, CI/CD, and data pipelines of a media analytics platform, and mentor the engineering team in a part‑time advisory role.

MUST HAVES

• 4+ years of deep, current hands‑on experience with AWS: ECS/Fargate, ECR, RDS (Postgres), S3, SageMaker, EventBridge, VPC/ALB/CloudFront, IAM.
• Fluency in Infrastructure‑as‑code, specifically Terraform.
• Proven track record designing or auditing CI/CD pipelines and SDLC governance (e.g., Alembic for schema/version control, environment separation, release gating).
• Strong data engineering depth to provide defensible opinions on ETL / ingestion architecture (managed tools vs. custom builds).
• Experience evaluating AI‑assisted / LLM‑assisted development workflows (e.g., Claude Code) from an engineering‑quality and cost‑governance standpoint.
• Comfortable operating in a part‑time advisory capacity (50% stepping down to 25%) as a strong communicator who can mentor less experienced engineers.
• Upper‑intermediate English level.

NICE TO HAVES

• Prior experience working with small, fast‑moving engineering teams.
• Understanding of MLOps pipelines and data science infrastructure.
• Media/AdTech domain knowledge is helpful but not required.

WHAT YOU WILL DO

• Audit the current AWS architecture across live applications, including ECS/ECR, RDS (Postgres), S3, VPC, CloudFront/SSO, and SageMaker‑based MLOps pipeline design.
• Review the CI/CD process and end‑to‑end app development lifecycle, recommending SDLC governance layers (schema versioning, environment separation, release gating).
• Evaluate how the team uses Claude Code (PR generation, automated reviews, token/cost management) to confirm output meets professional engineering standards.
• Provide an early technical opinion on ETL / data‑ingestion pipeline architecture (managed ELT tooling vs. custom build).
• Mentor and accelerate the day‑to‑day infrastructure build team, focusing on AWS, DevOps, CI/CD, and data engineering practices.
• Set out recommendations and technical direction where the audit surfaces necessary changes to the current build.
• Report findings and recommendations directly to leadership, framing high‑level risk and readiness.

PERKS AND BENEFITS

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: USD‑based pay with education, fitness, and team activity budgets.
• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options.